Elshan Edona, Zierau Naim, Engel Christian, Janson Andreas, Leimeister Jan Marco
Institute of Information Management, University of St. Gallen, St.Gallen, Switzerland.
Information Systems, Research Center for IS Design (ITeG), University of Kassel, Kassel, Germany.
Inf Syst Front. 2022;24(3):699-730. doi: 10.1007/s10796-021-10230-9. Epub 2022 Jan 4.
Intelligent agents (IAs) are permeating both business and society. However, interacting with IAs poses challenges moving beyond technological limitations towards the human-computer interface. Thus, the knowledgebase related to interaction with IAs has grown exponentially but remains segregated and impedes the advancement of the field. Therefore, we conduct a systematic literature review to integrate empirical knowledge on user interaction with IAs. This is the first paper to examine 107 Information Systems and Human-Computer Interaction papers and identified 389 relationships between design elements and user acceptance of IAs. Along the independent and dependent variables of these relationships, we span a research space model encompassing empirical research on designing for IA user acceptance. Further we contribute to theory, by presenting a research agenda along the dimensions of the research space, which shall be useful to both researchers and practitioners. This complements the past and present knowledge on designing for IA user acceptance with potential pathways into the future of IAs.
智能代理（IA）正在渗透到商业和社会领域。然而，与智能代理进行交互带来了诸多挑战，这些挑战不仅涉及技术限制，还延伸至人机界面领域。因此，与智能代理交互相关的知识库呈指数级增长，但仍处于分散状态，阻碍了该领域的发展。为此，我们进行了一项系统的文献综述，以整合有关用户与智能代理交互的实证知识。这是第一篇审查107篇信息系统和人机交互论文的文章，并确定了设计元素与用户对智能代理接受度之间的389种关系。沿着这些关系的自变量和因变量，我们构建了一个研究空间模型，涵盖了关于为智能代理用户接受度进行设计的实证研究。此外，我们通过提出沿着研究空间维度的研究议程，为理论做出了贡献，这对研究人员和从业者都将有所帮助。这补充了过去和现在关于为智能代理用户接受度进行设计的知识，并为智能代理的未来发展提供了潜在途径。
